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Objective:Previous studies suggested that polymorphisms in the coding region of the preproghrelin were involved in the etiology of obesity and might modulate glucose-induced insulin secretion. We evaluated the association of a new variation, −604C>T, in the promoter region of the ghrelin gene, of Leu72Met (247C>A) and of Gln90Leu (265A>T), all haplotype-tagging single nucleotide polymorphisms (SNPs), with measures of insulin sensitivity in 1420 adult individuals.Research methods:The three SNPs were genotyped using ABI PRISM 7900 HT Sequence Detection System. We used multiple linear regression analysis for quantitative traits and THESIAS software for haplotype analysis.Results:We observed a protective effect exerted by Met72 variant of Leu72Met SNP on insulin resistance parameters; a significant decreasing trend from Leu/Leu to Leu/Met and to Met/Met homozygous subjects in triglycerides, fasting insulin levels and HOMA-IR index (P=0.02, 0.01 and 0.003, respectively), and, consistently, an increase in ghrelin levels (P=0.003) was found. A significant decrease from CC to TC and to TT genotypes in insulin levels and HOMA-IR index was also detected (P=0.00l for both), but only in subjects homozygous for Leu72, where the protective effect of Met72 was not present. The haplotype analysis results supported the data obtained by the evaluation of each single SNP, showing the highest value of insulin levels and HOMA-IR index in the −604c247c haplotype intermediate value in −604T247C and lowest value in −604C247A.Conclusion:Our observations suggest a protective role of the Met72 variant and of −604 T allele in modulating insulin resistance. These SNPs or an unknown functional variant in linkage disequilibrium could increase ghrelin levels and probably insulin sensitivity.International Journal of Obesity (2008) 32, 663–668; doi:10.1038/sj.ijo.0803766; published online 11 December 2007 [ABSTRACT FROM AUTHOR]

Objective: Previous studies suggested that polymorphisms in the coding region of the preproghrelin were involved in the etiology of obesity and might modulate glucose-induced insulin secretion. We evaluated the association of a new variation, -604C>T, in the promoter region of the ghrelin gene, of Leu72Met (247C>A) and of Gln90Leu (265A>T), all haplotype-tagging single nucleotide polymorphisms (SNPs), with measures of insulin sensitivity in 1420 adult individuals., Research Methods: The three SNPs were genotyped using ABI PRISM 7900 HT Sequence Detection System. We used multiple linear regression analysis for quantitative traits and THESIAS software for haplotype analysis., Results: We observed a protective effect exerted by Met72 variant of Leu72Met SNP on insulin resistance parameters; a significant decreasing trend from Leu/Leu to Leu/Met and to Met/Met homozygous subjects in triglycerides, fasting insulin levels and HOMA-IR index (P=0.02, 0.01 and 0.003, respectively), and, consistently, an increase in ghrelin levels (P=0.003) was found. A significant decrease from CC to TC and to TT genotypes in insulin levels and HOMA-IR index was also detected (P=0.00l for both), but only in subjects homozygous for Leu72, where the protective effect of Met72 was not present. The haplotype analysis results supported the data obtained by the evaluation of each single SNP, showing the highest value of insulin levels and HOMA-IR index in the -604(c)247(c) haplotype intermediate value in -604(T)247(C) and lowest value in -604(C)247(A)., Conclusion: Our observations suggest a protective role of the Met72 variant and of -604 T allele in modulating insulin resistance. These SNPs or an unknown functional variant in linkage disequilibrium could increase ghrelin levels and probably insulin sensitivity.

Objective: To date, most mtDNA mutations in cancer have been identified in the control region (D-loop) containing the major promoters. However, almost all studies used one sample per tumor and there is no clear evidence whether metastatic deposits harbor different mtDNA variants. To establish whether different mtDNA variants can be found in the same cancer but at different sites, we analyzed a series of unilateral and bilateral primary epithelial ovarian cancers as well as paired metastatic tumor deposits., Methods: We sequenced the D-loop region in 52 different tumor samples of 35 ovarian cancer cases, as well as matched normal tissues. Seventeen of those 35 cases had bilateral ovarian cancer, with a sample from each tumor analyzed., Results: Eighty-six polymorphisms (4 new in ovarian cancer) were detected, and 9 different somatic mtDNA mutations were found in 26% (9 of 35) of ovarian cancer cases; all were homoplasmic in nature. Six of the mutations were novel in ovarian cancer. In 24% (4 of 17) of cases with bilateral ovarian tumors, different mtDNA variants were found between paired tumors, suggesting the presence of different clonal populations of cancer cells. Metastatic tumor deposits showed identical mtDNA variants to those found in at least one of the ovarian tumors in cases with bilateral ovarian cancer., Conclusion: Our data demonstrate that multiple tumor samples from the same patient may harbor different mtDNA variants.

Genetic analysis of a mouse model of major histocompatability complex (MHC)-associated autoimmune type 1 (insulin-dependent) diabetes mellitus (IDDM) has shown that the disease is caused by a combination of a major effect at the MHC and at least ten other susceptibility loci elsewhere in the genome. A genome-wide scan of 93 affected sibpair families (ASP) from the UK (UK93) indicated a similar genetic basis for human type 1 diabetes, with the major genetic component at the MHC locus (IDDM1) explaining 34% of the familial clustering of the disease (lambda(s)=2.5; refs 3,4). In the present report, we have analysed a further 263 multiplex families from the same population (UK263) to provide a total UK data set of 356 ASP families (UK356). Only four regions of the genome outside IDDM1/MHC, which was still the only major locus detected, were not excluded at lambda(s)=3 and lod=-2, of which two showed evidence of linkage: chromosome 10p13-p11 (maximum lod score (MLS)=4.7, P=3x10(-6), lambda(s)=1.56) and chromosome 16q22-16q24 (MLS=3.4, P=6.5x10(-5), lambda(s)=1.6). These and other novel regions, including chromosome 14q12-q21 and chromosome 19p13-19q13, could potentially harbour disease loci but confirmation and fine mapping cannot be pursued effectively using conventional linkage analysis. Instead, more powerful linkage disequilibrium-based and haplotype mapping approaches must be used; such data is already emerging for several type 1 diabetes loci detected initially by linkage.

Quantification of X-chromosome inactivation patterns (XCIPs) using PCR amplification of the human androgen receptor (HUMARA) locus is potentially valuable in a range of haematological disorders. Of 236 females screened, 203 (86%) were heterozygous. For quantitative XCIPs it was necessary to limit the number of PCR cycles to 20 to reduce preferential amplification of shorter alleles. The optimized PCR method was compared with Southern blotting results using either PGK, HPRT or M27beta in 51 haematologically normal females and blast cells from 27 patients with acute myeloid leukaemia (AML). Reproducible XCIP results were obtained in all 78 samples using digestion with Hpa II prior to amplification (median difference in duplicate values 3%, range 0-17%) and they correlated well with Southern blotting results, r=0.966. Greater variability was observed in the results using Hha I digestion (median difference 4%, range 0-48%). There were marked inconsistencies in repeated analyses of three AML samples and although the HUMARA-Hha I results correlated well overall with Southern blotting in the remaining 75 samples (r=0.922), in nine samples there were still discrepancies with > or = 20% difference between the two values. These results suggest that PCR analysis of the HUMARA locus in Hpa II-digested DNA is suitable for the quantification of XCIPs in haematological samples but results with Hha I should be treated with caution.